﻿This file [00_ReadMe_MIT_Libraries_Coloring_Book.txt was generated on 2024-06-17 by Jana Dambrogio.


GENERAL INFORMATION


1. Title of Dataset:
"00_ReadMe_MIT_Libraries_Coloring_Books.txt”, Harvard Dataverse.


2. Caption: Side A; A four-page booklet made from a single sheet of paper. The four-pages of the booklet describe and illustrate collections found in the MIT Libraries’. Side B is the flat sheet which contains a black and white illustration for coloring.  


3. Alt text:


4. Author Information
  A. Principal Investigators Contact Information
        Name: Wunsch Conservation Laboratory staff, Aga Khan Documentation Center staff
Department of Distinctive Collections; Rotch Architecture and Design Librarian. Rotch Art Library
        Institution: Massachusetts Institute of Technology
        Email: conservationlab@mit.edu  
        
5. Date of data collection (single date, range, approximate date):
2024-04–15.


6. Geographic location of data collection:
Cambridge, Massachusetts, United States of America.


7. Information about funding sources that supported the collection of the data:
The Massachusetts Institute of Technologies Libraries.




SHARING/ACCESS INFORMATION


1. Licenses/restrictions placed on the data:
Copyright © 2024-15-April MASSACHUSETTS INSTITUTE OF TECHNOLOGY. Licensed under a Creative Commons Attribution 4.0 International License except where otherwise noted.


2. Links to publications that cite or use the data:
N/A.


3. Links to other publicly accessible locations of the data:
N/A.


4. Links/relationships to ancillary data sets:
N/A.


5. Was data derived from another source?
No.


6. Recommended citation for this dataset:Illustrations created by Kai Alexis Smith, Rami Alafandi, Gwendolyn Collaço, and Jana Dambrogio, Matt Saba, "MIT Libraries' Coloring Books", https://dataverse.harvard.edu/dataverse/coloringbooks/, Harvard Dataverse.


DATA & FILE OVERVIEW


1. File/Dataset List: https://doi.org/10.7910/DVN/OIMEYO
* File. Name. PNG,
* File. Name. PDF
*File. (this document) 00_ReadMe_2024_MIT_Libraries_coloring_books.txt


2. Relationship between files, if important:
Each coloring booklet can be found in a dataset that contains the following files:
* A PNG file 
* and accessible PDF-accessible file contains a caption for the coloring book in the PNG file
* A readme file (s).


3. Additional related data collected that was not included in the current data package:


4. Are there multiple versions of the dataset?
No.


METHODOLOGICAL INFORMATION


1. Description of methods used for collection/generation of data:
 MIT Libraries’ presents a growing collection of freely available and downloadable coloring books. These coloring books were developed and designed as an accessible method to share items in the MIT Libraries collections. Each coloring book is available as PNGs and PDF-accessible files.


2. Methods for processing the data:
N/A.


3. Instrument- or software-specific information needed to interpret the data:
N/A.


4. Standards and calibration information, if appropriate:
N/A.


5. Environmental/experimental conditions:
N/A.


6. Describe any quality-assurance procedures performed on the data:
* The team used Adobe Acrobat Accessibility and “Use guided actions” (formerly action wizard), tools to pass a series of tests to verify that the PDF documents pass as accessible PDFs 
* The team met with MITs Accessibility Office to review a selection of our files and check the accessibility of the documentation. 


7. People involved with sample collection, processing, analysis and/or submission:
Illustrations created by Kai Alexis Smith, Rami Alafandi, Gwendolyn Collaço, and Jana Dambrogio.
ReadME files edited by Jana Dambrogio.
Contributors include:  Matt Saba; and the Wunsch Conservation Lab Staff, MIT Libraries


8. STYLE GUIDE – TECHNICAL INFORMATION
Vision-accessible color values
* EC008C – magenta
* 00AEEF – blue


9. Acknowledgments
Thank you to the Accessibility office at MIT, especially Kate Quinn, Mary Ziegler, and Harvard Dataverse Staff.